Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for recognizing short speech speaker

A speaker recognition and speaker technology, applied in speech analysis, instruments, etc., can solve the problems of difficulty in meeting actual needs and low performance of short speech speaker recognition, and achieve the effect of overcoming the decline in speaker recognition performance and improving the accuracy rate

Active Publication Date: 2018-07-13
GEER TECH CO LTD
View PDF7 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a short-voice speaker recognition method and device to solve the problem that the performance of short-voice speaker recognition in the prior art is not high and it is difficult to meet actual needs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for recognizing short speech speaker
  • Method and device for recognizing short speech speaker
  • Method and device for recognizing short speech speaker

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The inventive concept of the present invention is: the current voiceprint recognition technology generally has better recognition performance for longer speech, but for short speech speaker recognition, since the speech time is very short, the extracted Features are limited and performance will drop a lot. In this regard, the embodiment of the present invention proposes a short speech speaker recognition scheme. The technical solution of the present embodiment improves the extracted MFCC (Mel Frequency Cepstral Coefficients, Mel Frequency Cepstral Coefficients) speech features, and proposes The new AKPFCM (Adaptive Kernel Possibility Fuzzy C-means, Adaptive Kernel Possibility Fuzzy C-means) clustering algorithm, and the use of the possibility fuzzy classifier in the high-dimensional feature space to achieve reliable speaker recognition, in a very short In the case of speech (such as 1 to 2 seconds), it can still have a high recognition performance. Through the improved...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method and device for recognizing a short speech speaker. The method comprises the following steps: after an input training short speech signal is preprocessed, a Mel frequency Cepstral coefficient is extracted as a training feature vector, and an adaptive kernel likelihood fuzzy C-means clustering algorithm is used for performing clustering analysis to establish a speaker speech reference model; after the input test short speech signal is preprocessed, the Mel frequency cepstral coefficient is extracted as a test feature vector, distance between the test feature vector and the speaker speech reference model is calculated, and the identity of the short speech speaker is identified according to the distance. Via the method and device for recognizing the short speech speaker disclosed in the present embodiment, the Mel frequency Cepstrum coefficient is extracted as a feature, and the feature and the adaptive kernel likelihood fuzzy C-means clustering algorithm are used for performing the clustering analysis to establish the speaker speech reference model; after an execution model is matched, the identity of the short speech speaker is recognized, recognitionaccuracy is improved, and practical application requirements are met.

Description

technical field [0001] The invention relates to the technical field of speech recognition, in particular to a short speech speaker recognition method and device. Background technique [0002] In modern society, with the development of information technology, there are more and more demands on how to identify individuals and protect private data. Identification using human biometrics, such as fingerprints, iris, voice, etc., is a convenient and reliable option. Compared with fingerprint and iris recognition, the collection cost of human voice is low and the operation is simple. At the same time, voice has strong personal characteristics. Voice can be used as a convenient means of identifying the identity of the speaker. For short speech speaker recognition, due to the short speech time, the extracted features are limited, the performance of speaker recognition is not high, and it is difficult to meet the needs of practical applications. Contents of the invention [0003] ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/02G10L17/04G10L17/08G10L25/24
CPCG10L17/02G10L17/04G10L17/08G10L25/24
Inventor 苏鹏程张一凡
Owner GEER TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com